Using specialized workers to improve performance in machine learning
US9269057B1 · kind B1 · utility
12Cited by
2References
36Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2013 |
| Grant date | Feb 23, 2016 |
| Priority date | — |
| Expiry date | Jul 4, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques are disclosed for generating weighted machine learned models using multi-shard combiners. A learner in a machine learning system may receive labeled positive and negative examples and workers within the learner may be configured to receive either positive or negative examples. A positive and negative statistic may be calculated for a given feature and may either be applied separately in a model or may be combined to generate an overall statistic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.